{"id":"W2131318362","doi":"10.1890/08-0966.1","title":"Species richness and temperature influence mussel biomass: a partitioning approach applied to natural communities","year":2009,"lang":"en","type":"article","venue":"Ecology","topic":"Aquatic Invertebrate Ecology and Behavior","field":"Environmental Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trent University","funders":"","keywords":"Biodiversity; Species richness; Ecology; Biomass (ecology); Ecosystem; Biology; Niche differentiation; Dominance (genetics); Complementarity (molecular biology); Habitat; Trait","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0001569292,0.000127905,0.0001707146,0.00004184746,0.0003769883,0.00003153148,0.0001899977,0.000138341,0.0011151],"category_scores_gemma":[0.00002529526,0.0001117343,0.00001674514,0.0001830727,0.0003175774,0.0001322173,0.0001301332,0.0002132608,0.0004299258],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006619634,"about_ca_system_score_gemma":0.000008802659,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003155099,"about_ca_topic_score_gemma":0.00039086,"domain_scores_codex":[0.9992303,0.00006509311,0.0001452511,0.0001937097,0.00007906061,0.0002866205],"domain_scores_gemma":[0.9996412,0.00007764154,0.00004190892,0.0001653059,0.000007533539,0.00006644634],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008133193,0.0004986335,0.8351591,0.00001735134,0.0000239332,0.0000303985,0.01128766,0.0009258179,0.1264071,0.006112061,0.01808642,0.001370185],"study_design_scores_gemma":[0.0002141042,0.0001211539,0.9954293,0.000002447037,0.00001266245,0.00002765899,0.00156728,0.0001497451,0.0009929386,0.0005531722,0.0007651629,0.0001643306],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9929605,0.00001126047,0.00002173646,0.0008232698,0.00009446736,0.0002312407,0.000002715812,0.00004662566,0.005808251],"genre_scores_gemma":[0.9938493,0.000002774488,0.001564425,0.003705545,0.00002480182,0.00005218401,0.00001818207,0.00000505577,0.0007777613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1602703,"threshold_uncertainty_score":0.999798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008966296809945928,"score_gpt":0.2112511644264527,"score_spread":0.2022848676165068,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}